About Me

I am a Ph.D. student in the Computer Science department at University of Southern California (USC) advised by Prof. Xuezhe Ma. My current research focuses on vision language models. I have also worked on time series foundation models. Previously, I obtained my Bachelor degree from University of Wisconsin - Madison in Computer Science, Data Science, and Statistics. During the time at Madison, I worked with Prof. Song Gao on research topics related to Geospatial Data Science. You can reach me at yewen@usc.edu.

News

• [Mar. 2026] Our paper TS-Reasoner: Domain-Oriented Time Series Inference Agents for Reasoning and Automated Analysis is accepted by TMLR!
• [Jan. 2026] Our paper PINFDiT: Energy-Based Physics-Informed Diffusion Transformers for General-purpose Time Series Tasks is accepted by ICLR 2026!
• [Jan. 2024] Our paper TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting is accepted by ICLR 2024!